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Revealing Latent Student Traits in Distance Learning Through SNA and PCA

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Handbook on Intelligent Techniques in the Educational Process

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 29))

Abstract

Distance Learning has moved almost completely online, gaining ground in an educational setting of constantly increasing demand. Physical distance poses barriers in the implementation of such a transition, however, most of these barriers can be surpassed by implementing a Learning Analytics process around the educational process. The chapter presents a novel approach that is based on a rich spectrum of metrics of Social Network Analysis that can capture complicated interaction of social students’ behavior, along with academic performance indicators, in a process that aims to reveal the latent characteristics of students participating in the discussion fora of their Distance Learning postgraduate course.

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Author information

Authors and Affiliations

  1. School of Science and Technology, Hellenic Open University, Patras, Greece

    Rozita Tsoni & Vassilios S. Verykios

  2. School of Information and Communication Technologies, Department of Informatics, University of Piraeus, Piraeus, Greece

    Evangelos Sakkopoulos

Authors
  1. Rozita Tsoni
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  2. Evangelos Sakkopoulos
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  3. Vassilios S. Verykios
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Correspondence to Rozita Tsoni .

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Editors and Affiliations

  1. Faculty of Sciences, Department of Mathematics and Informatics, University of Novi Sad, Novi Sad, Serbia

    Mirjana Ivanović

  2. Faculty of Sciences, Department of Mathematics and Informatics, University of Novi Sad, Novi Sad, Serbia

    Aleksandra Klašnja-Milićević

  3. KES International, Selby, UK

    Lakhmi C. Jain

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Tsoni, R., Sakkopoulos, E., Verykios, V.S. (2022). Revealing Latent Student Traits in Distance Learning Through SNA and PCA. In: Ivanović, M., Klašnja-Milićević, A., Jain, L.C. (eds) Handbook on Intelligent Techniques in the Educational Process. Learning and Analytics in Intelligent Systems, vol 29. Springer, Cham. https://doi.org/10.1007/978-3-031-04662-9_10

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  • DOI: https://doi.org/10.1007/978-3-031-04662-9_10

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  • Online ISBN: 978-3-031-04662-9

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